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Anatomical insights into disrupted small-world networks in schizophrenia
Wang, Qifeng; Su, Tung-Ping; Zhou, Yuan; Chou, Kun-Hsien; Chen, I-Yun; Jiang, Tianzi; Lin, Ching-Po; Jiang, TZ (reprint author), Chinese Acad Sci, Inst Automat, LIAMA Ctr Computat Med, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China.
2012
发表期刊NEUROIMAGE
ISSN1053-8119
文章类型期刊论文
卷号59期号:2页码:1085-1093
产权排序4
摘要Schizophrenia is characterized by lowered efficiency in distributed information processing, as indicated by research that identified a disrupted small-world functional network. However, whether the dysconnection manifested by the disrupted small-world functional network is reflected in underlying anatomical disruption in schizophrenia remains unresolved. This study examined the topological properties of human brain anatomical networks derived from diffusion tensor imaging in patients with schizophrenia and in healthy controls. We constructed the weighted brain anatomical network for each of 79 schizophrenia patients and for 96 age and gender matched healthy subjects using diffusion tensor tractography and calculated the topological properties of the networks using a graph theoretical method. The topological properties of the patients' anatomical networks were altered, in that global efficiency decreased but local efficiency remained unchanged. The deleterious effects of schizophrenia on network performance appear to be localized as reduced regional efficiency in hubs such as the frontal associative cortices, the paralimbic/limbic regions and a subcortical structure (the left putamen). Additionally, scores on the Positive and Negative Symptom Scale correlated negatively with efficient network properties in schizophrenia. These findings suggest that complex brain network analysis may potentially be used to detect an imaging biomarker for schizophrenia. (C) 2011 Elsevier Inc. All rights reserved.
关键词Anatomical connectivity Diffusion tensor imaging Graph theory Small-world Schizophrenia
学科领域Abnormal Psychology,physiological Psychology/biological Psychology
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收录类别SCI
语种英语
项目资助者National Key Basic Research and Development Program (973) [2011CB707800] ; Natural Science Foundation of China [30730035, 30900487] ; Ministry of Economic Affairs [98-EC-17-A-19-S2-0103] ; National Health Research Institute [NHRI-EX98-9813EC] ; National Science Council [98-2517-S-004-001-MY3, 98-2627-B-010-008] ; Ministry of Education ; MRI Core Laboratory, NYMU
项目简介This work was supported by the National Key Basic Research and Development Program (973) (Grant Number 2011CB707800) to Dr Jiang; the Natural Science Foundation of China (Grant Number 30730035 to Dr Jiang, Grant Number 30900487 to Dr. Zhou); Ministry of Economic Affairs (Grant Number 98-EC-17-A-19-S2-0103); National Health Research Institute (Grant Number NHRI-EX98-9813EC); and National Science Council (Grant Numbers 98-2517-S-004-001-MY3 and 98-2627-B-010-008)The authors acknowledge MR support from the MRI Core Laboratory, NYMU and support from the Ministry of Education (Aim for the Top University Plan). The authors thank Drs. Edmund F. and Rhoda E. Perozzi for English editing assistance and discussions. The authors thank Dr. Yong Liu for his valuable suggestions on the revised manuscript. The authors are grateful to Professor Godfrey Pearlson for his constructive comments and suggestions.
WOS记录号WOS:000298210600028
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被引频次:75[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/14288
专题中国科学院行为科学重点实验室
通讯作者Jiang, TZ (reprint author), Chinese Acad Sci, Inst Automat, LIAMA Ctr Computat Med, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China.
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Wang, Qifeng,Su, Tung-Ping,Zhou, Yuan,et al. Anatomical insights into disrupted small-world networks in schizophrenia[J]. NEUROIMAGE,2012,59(2):1085-1093.
APA Wang, Qifeng.,Su, Tung-Ping.,Zhou, Yuan.,Chou, Kun-Hsien.,Chen, I-Yun.,...&Jiang, TZ .(2012).Anatomical insights into disrupted small-world networks in schizophrenia.NEUROIMAGE,59(2),1085-1093.
MLA Wang, Qifeng,et al."Anatomical insights into disrupted small-world networks in schizophrenia".NEUROIMAGE 59.2(2012):1085-1093.
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